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Gemini 2.5 Pro

by Google DeepMind
Flagship Proprietary Multimodal 🏆 Ranked #6 of 22
85.9
Overall Score
out of 100
About

Google DeepMind's most advanced model, with standout performance in mathematics, science, and long-context reasoning. Gemini 2.5 Pro features a 1 million token context window and an experimental 2 million token mode, alongside strong multimodal capabilities.

Key Metrics
Context Window
1.0M
tokens
Avg Response
1050
milliseconds
Input Cost
$1.25
per million tokens
Output Cost
$10.0
per million tokens
Arena ELO
1380
Chatbot Arena rating
MT-Bench
9.0
out of 10
Benchmark Scores
MMLU
90.0%
HumanEval
87.9%
MATH
91.2%
GPQA
59.1%
MT-Bench
90.0/10
Capability Profile
Strengths & Limitations
Strengths
✓ Exceptional mathematics ✓ 1M+ context window ✓ Strong multimodal ✓ Competitive pricing ✓ Science benchmarks
Limitations
⚠ Slower on short tasks ⚠ Less established ecosystem than OpenAI/Anthropic
Ideal Use Cases
Long document analysis STEM research Mathematics Video understanding Complex multi-step tasks
Model Details
Provider Google DeepMind
Released 2025-03-25
Open source No
Multimodal Yes
Tier Flagship
Global rank #6 / 22
Pricing (USD)
Input tokens $1.25/M
Output tokens $10.0/M
Per 1,000 tokens ≈ $0.0013 input / $0.0100 output
All Benchmarks
MMLU 90.0%
HumanEval 87.9%
MATH 91.2%
GPQA 59.1%
MT-Bench 9.0/10
Arena ELO 1380
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